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Building damage mapping based on Touzi decomposition using quad-polarimetric ALOS PALSAR data

Frontiers of Earth Science 2020年第2期14卷 401-412页

作者： Shan LIU Fengli ZHANG Shiying WEI Qingbo LIU Na LIU Yun SHAO Steven JBURIAN Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094China University of Chinese Academy of Sciences Beijing 100049China Laboratory of Target Microwave Properties Deqing Academy of Satellite ApplicationsHuzhou 313200China Beijing University of Civil Engineering and Architecture Beijing 100044China Department of Civil and Environmental Engineering University of UtahSalt Lake CityUT 84112USA

Building damage assessment is of great significance to disaster *** Synthetic Aperture Radar(SAR)can record the polarization scattering measurement matrix of ground objects and obtain more abundant ground object information,meaning that they can be used for assessing damage to *** this paper,a new approach is proposed to assess building damage using the Touzi incoherent decomposition and SAR-based characteristics of buildings before and after *** March 11th,2011 earthquake that struck the coast of northeast Japan serves as the demonstration of the technique using quad-polarimetric ALOS PALSAR data acquired before and after the *** analysis shows that after the buildings are damaged,there is a clear decrease in theαs1(the dominant scattering-type magnitude)components and the degree of this reduction corresponds to the degree of building *** means that theαs1 components obtained by Touzi decomposition can effectively reflect the degree of building *** this basis,a model based on Touzi decomposition was established to evaluate the degree of damage to buildings,and the accuracy of the model was validated using high-resolution optical data acquired before and after the *** experimental results show that Touzi decomposition can be effectively used for damage assessment mapping in built-up areas.

关键词： Touzi decomposition quad-polarization SAR buildings damage disaster management

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